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Nothing super clear here. For another view, here’s mean/sd.
## correct id mean sd
## 1: 0 1 3.488206 1.2033557
## 2: 1 1 4.341070 1.3414862
## 3: 0 2 2.705851 0.8562252
## 4: 1 2 3.318556 0.8070109
## 5: 0 3 2.309430 0.9343396
## 6: 1 3 3.159028 1.2914723
## 7: 0 4 6.425881 3.2794592
## 8: 1 4 5.674990 2.8193456
## 9: 1 5 2.672091 0.5580086
## 10: 0 5 2.983645 0.7743404
## 11: 1 6 3.577020 1.0990006
## 12: 0 6 2.678984 1.0993206
## 13: 0 7 5.532303 2.8881860
## 14: 1 7 8.600860 2.7292610
## 15: 0 8 3.138085 1.1672841
## 16: 1 8 3.288395 1.0279501
## 17: 0 9 3.934680 2.9200017
## 18: 1 9 5.198242 2.1361181
Maybe people tend to push a little harder when correct? It’s small & hard to tell…
Maybe a difference in thumb? But now change the y-axis to count.
Thumb effect is attenuated (probably not enough observations). See per-individual densities (back to relative scaling, but with points below to show # observations):
Jury is out on RT differences between fingers.
Break it down one more time: Now heterologous/homologous/same hand:
I don’t have people’s handedness, but we can look for biases toward one hand or another per individual:
This one takes a bit to grok, but I think the best way is to compare within column, row 1 vs row 2 & row 3 vs row 4. This is comparing switching R->L vs L->R. Nothing obvious jumps out here.
Now switching within the same hand (also remember, less data in this case):